High-dimensional Experimental Design and Kernel Bandits. - Romain Camilleri; Kevin Jamieson 001; Julian Katz-Samuels (ICML, 2021)

Selective Sampling for Online Best-arm Identification. - Romain Camilleri; Zhihan Xiong; Maryam Fazel; Lalit Jain; Kevin G. Jamieson (NeurIPS, 2021)

Nearly Optimal Algorithms for Level Set Estimation. - Blake Mason; Lalit Jain; Subhojyoti Mukherjee; Romain Camilleri; Kevin G. Jamieson; Robert D. Nowak (AISTATS, 2022)

Active Learning with Safety Constraints. - Romain Camilleri; Andrew Wagenmaker; Jamie H. Morgenstern; Lalit Jain; Kevin G. Jamieson (NeurIPS, 2022)

A/B Testing and Best-arm Identification for Linear Bandits with Robustness to Non-stationarity. - Zhihan Xiong; Romain Camilleri; Maryam Fazel; Lalit Jain; Kevin G. Jamieson (AISTATS, 2024)

Fair Active Learning in Low-Data Regimes. - Romain Camilleri; Andrew Wagenmaker; Jamie Morgenstern; Lalit Jain; Kevin Jamieson 001 (UAI, 2024)

Trustworthy interactive learning, a story of fairness, robustness and safety - Romain Camilleri (2024)